Spectral unmixing for separation of re ection components
نویسنده
چکیده
The light spectrum that is recorded by a pixel on an imaging sensor is often a mixture of several distinct source spectra. Such a mixture may be modeled as a linear combination of some basis spectra, and if the basis for the scene is known, each pixel may be decomposed into its original components using linear inversion. Since the maximum number of separable basis spectra is equal to the number of image bands, multispectral images o er advantages compared to RGB-images. It is shown how multispectral images may be used to separate various re ection components, including second-order scattering, based on the Dichromatic Re ection Model.
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